GraphGrail AI

GraphGrail AI is an AI platform for blockchain built on natural language understanding technology.

How it works:

GraphGrail AI is an artificial intelligence solution that requires no programming skills to use. It has a visual drag and drop interface that allows users to create their own customised algorithms, tailored specifically to their task.

Some of the tasks that the AI can be trained to perform include developing a chat-bot, product analytics, semantic analysis, social media monitoring, determining author by text, emotion recognition based on facial expression etc.

GraphGrail AI is easy to integrate with the user’s business, it connects with any type of data source, be it social media or an open database. Using blockchain cuts down costs significantly and provides more security and transparency for the users.

The platform provides all tools necessary for data preparation and processing. This gives a big advantage to the AI architect whose abilities to fine tune the AI to the task in hand are vastly enhanced with these tools.

GraphGrail is also a dapp marketplace, that allows users develop and sell their own AI based decentralized applications to earn money.

Innovation:

GraphGrail makes it possible to use wide possibilities of AI for a fraction of a price its few competitors do. It might be a step towards popularisation and mass use of artificial intelligence.

Innovation score: High

Token value:

The value of GAI token is tied to the amount of transactions on GraphGrail platform. Businesses need to purchase GAI tokens on the exchange to pay for the company’s services. Naturally, as the demand for the token rises, so will its price. The token doesn’t give any additional benefits apart from the possibility to sell it with a profit.

Token value score: Medium

White paper:

GraphGrail’s white paper is in the top tier in terms of quality. Apart from discussing the key concepts of the platform, it provides some crucial business information. The white paper presents a market analysis and the plan for the platform’s monetization. It also shows a deep knowledge of their customers and gives a brief outlook on those projects they are already serving or negotiating to.

White paper score: High

Roadmap:

GraphGrail is in operation since 2014 and since this year they are developing and selling AI based solutions. Currently it is of the three companies that provide semantic analysis services in Russia.

The company will release some features as early as May 2018 and the full-scale release is scheduled on July 2018. In October 2018 users will see the implementation of proof-of-quality-work and some ready to use tools. The Laboratory with deep learning will be launched in the first quarter of 2019.

Roadmap score: Medium

Business model:

GraphGrail works on the SaaS (software as a service) business model. Businesses are charged a monthly subscription fee and are required to pay for some additional features like using tools provided by the platform and using already trained neural networks.

Considering that GraphGrail already has some clients it works with and have been in the industry since 2014, business-wise they have it all covered.

Business model score: High

Team:

The company’s CEO is a data-science expert with than 6 years of experience in development and deep learning. The works of GraphGrail’s lead developer are being published in reviewed scientific journals. Even though many team members lack experience in the bios, as they are more focused on their responsibilities in the company, the team gets some additional points for working together for four years.

A more serious mistake GraphGrail makes is not mentioning the advisory board.

Team score: Medium

Competitors:

GraphGrail names MS Azure, IBM Watson, Yandex Toloka and Dandelion API as its main competitors. These are big players, but GraphGrail has an edge on them. It is cheaper and easier to use, so it will get more mass attention.

Competitors score: Medium

Overall thoughts:

GraphGrail provides a service that will be useful for millions of people worldwide. With time and right marketing efforts, the transaction volumes are sure to grow, so GAI will rise in price significantly. Investing in it is a great decision.